Evidence map›Paper›PMID 31824727›Full record

ArticleRoyal Society open science2019

Optimization and characterization of poly(lactic-co-glycolic acid) nanoparticles loaded with astaxanthin and evaluation of anti-photodamage effect

Fangbin Hu, Weikang Liu, Liuliu Yan, Fanhui Kong, Kun Wei

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 58 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Fangbin HuSchool of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, People's Republic of China.ORCID 0000-0002-2048-3981
Weikang LiuSchool of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, People's Republic of China.
Liuliu YanSchool of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, People's Republic of China.ORCID 0000-0002-4640-1016
Fanhui KongSchool of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, People's Republic of China.
Kun WeiSchool of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, People's Republic of China.
Bioscience (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Astaxanthin is a xanthophyll carotenoid with high beneficial biological activities, such as antioxidant function and scavenging oxygen free radicals, but its application is limited because of poor water solubility and low bioavailability. Here, we prepared and optimized poly(lactic-co-glycolic acid) (PLGA) nanoparticles loaded with astaxanthin using the emulsion solvent evaporation technique and investigated the anti-photodamage effect in HaCaT cells. The four-factor three-stage Box-Behnken design was used to optimize the nanoparticle formulation. The experimental determination of the optimal nanoparticle size was 154.4 ± 0.35 nm, the zeta potential was 22.07 ± 0.93 mV, encapsulation efficiency was 96.42 ± 0.73% and drug loading capacity was 7.19 ± 0.12%. The physico-chemical properties of the optimized nanoparticles were characterized by dynamic light scattering, scanning electron microscopy, transmission electron microscopy, Fourier-transform infrared spectroscopy, X-ray diffraction, differential scanning calorimetry and thermo-gravimetric analyser.

Indexed as

anti-photodamage effectastaxanthinBox–Behnken designpoly(lactic-co-glycolic acid) nanoparticle

Identifiers

PMID31824727
PMCPMC6837188
OpenAlexW2981718158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.